Comparison of Deep Architectures for Indoor RF Signal Classification

Tamizhelakkiya,Prabhu Chandhar, Sabitha Gauni

2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI)（2021）

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摘要

In this paper, we study the performance of three different Deep Learning (DL) network architectures in Radio Frequency (RF) signal classification tasks considering an indoor environment. We compare the classification accuracy of 7 modulation types (BPSK, QPSK, GMSK, 16-QAM, 64-QAM, GFSK, and CPFSK) with Convolutional Neural Network (CNN), Long Short Term Memory (LSTM) network, and Residual Network...

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关键词

Deep learning,RF signal classification,CNN,LSTM,ResNet

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